TensorFlow Corporate Training Course

The instructor-led TensorFlow training course offered by Edstellar emphasizes upskilling teams with the skills and knowledge to excel in learning applications and develop large numerical computations. Experts cover architecture, tensors, graphs, dimensions, ranks, variables, and examples through this customized training.

12 - 16 hrs
Instructor-led (On-site/Virtual)
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TensorFlow Training
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Drive Team Excellence with TensorFlow Corporate Training

On-site or Online TensorFlow Training - Get the best TensorFlow training from top-rated instructors to upskill your teams.

TensorFlow is an open-source machine learning framework developed by Google that has become one of the most popular tools for building and deploying machine learning models. The TensorFlow training course is designed to provide the workforce with a comprehensive understanding of TensorFlow, including its architecture, programming interfaces, and practical applications.

With Edstellar's TensorFlow instructor-led training, teams learn how to design and implement custom machine learning algorithms using TensorFlow, including techniques such as reinforcement learning, generative adversarial networks, and transfer learning. The program covers both supervised and unsupervised learning approaches and deep learning techniques such as convolutional and recurrent neural networks. The onsite TensorFlow training transforms your workforce into a dynamic, data-driven asset, fostering growth and agility.

TensorFlow Training for Employees: Key Learning Outcomes

Develop essential skills from industry-recognized TensorFlow training providers. The course includes the following key learning outcomes:

  • Build and train machine learning models using TensorFlow
  • Understand the basics of machine learning and neural networks
  • Design and implement custom machine learning algorithms using TensorFlow
  • Develop and deploy TensorFlow models at scale to support large-scale applications and services
  • Use TensorFlow's APIs to build, train, and deploy models in various environments, including the cloud
  • Integrate TensorFlow with other tools and technologies to create end-to-end machine learning pipelines
  • Implement deep learning techniques, such as convolutional and recurrent neural networks, to solve real-world problems

Key Benefits of the Training

  • Equips teams to analyze large datasets for informed, data-driven decision-making
  • Increases productivity by automating tasks and improving data analysis capabilities
  • Facilitates automation of repetitive tasks, optimizing resource allocation and efficiency
  • Empower organizations to innovate by developing advanced machine-learning models
  • Boosts employees' skills in deep learning, making them valuable assets for tackling complex AI projects

TensorFlow Training Topics and Outline

This TensorFlow Training curriculum is meticulously designed by industry experts according to the current industry requirements and standards. The program provides an interactive learning experience that focuses on the dynamic demands of the field, ensuring relevance and applicability.

  1. What is TensorFlow?
    • TensorFlow basics
    • TensorFlow ecosystem overview
  2. Installation and setup
    • Installing TensorFlow
    • Configuring the environment
  3. Building your first TensorFlow model
    • Creating tensors
    • Defining operations
    • Running a TensorFlow session
  1. Introduction to Keras
    • Keras overview
    • Keras vs. TensorFlow
  2. Building simple ML models
    • Creating sequential models
    • Adding layers to models
    • Compiling models
  1. Data loading techniques
    • Loading data from different sources
    • Data preprocessing
  2. Data augmentation
    • Image data augmentation
    • Text data augmentation
  1. Custom loss functions
    • Defining custom loss functions
    • Implementing loss functions
  2. Custom layers and models
    • Creating custom layers
    • Building custom models
  1. Introduction to distributed training
    • Distributed learning strategies
    • TensorFlow's distribution strategy
  2. Setting up distributed training
    • Multi-GPU training
    • Distributed cluster setup
  1. Image classification
    • Convolutional Neural Networks (CNNs)
    • Image classification techniques
  2. Object detection
    • Detecting objects in images
    • YOLO (You Only Look Once)
  1. Text classification
    • Text preprocessing
    • Building text classification models
  2. Sequence-to-sequence models
    • Encoder-decoder architectures
    • Applications in natural language processing
  1. Audio data processing
    • Feature extraction from audio
    • Speech recognition
  2. Sound generation
    • Generating sound with neural networks
    • Music generation
  1. Working with structured data
    • Data preparation for structured data
    • Feature engineering
  2. Regression and classification
    • Predictive modeling with structured data
    • Evaluating model performance
  1. Generative Adversarial Networks (GANs)
    • GAN architecture
    • Generating images with GANs
  2. Variational Autoencoders (VAEs)
    • VAE architecture
    • Latent space exploration
  1. Model optimization techniques
    • Model quantization
    • Model pruning
  2. TensorFlow Serving for model deployment
    • Serving TensorFlow models in production
    • Scalability and efficiency
  1. Interpreting model decisions
    • Model explainability methods
    • Visualizing model insights
  2. Model monitoring and maintenance
    • Detecting model drift
    • Re-training and updating models
  1. Introduction to reinforcement learning
    • Reinforcement learning basics
    • Markov decision processes (MDPs)
  2. Reinforcement learning with TensorFlow
    • Implementing RL algorithms
    • Training agents in environments
  1. Introduction to tf.Estimator
    • Estimator overview
    • Advantages of using tf.Estimator
  2. Building custom Estimators
    • Creating custom Estimators for unique tasks
    • Integrating Estimators into TensorFlow workflows

This Corporate Training for TensorFlow is ideal for:

What Sets Us Apart?

TensorFlow Corporate Training Prices

Elevate your team's TensorFlow skills with our TensorFlow corporate training course. Choose from transparent pricing options tailored to your needs. Whether you have a training requirement for a small group or for large groups, our training solutions have you covered.

Small Group
Large Groups

Request for a quote to know about our TensorFlow corporate training cost and plan the training initiative for your teams. Our cost-effective TensorFlow training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your TensorFlow training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

This Corporate Training for TensorFlow is ideal for:

The TensorFlow training course benefits organizations looking to excel in AI and deep learning applications. This training is specially designed for data scientists, machine learning engineers, data analysts, AI developers, software engineers, project managers, and business analysts.

Prerequisites for TensorFlow Training

Before taking the TensorFlow training course, teams must have a basic understanding of machine learning concepts and familiarity with Python programming.

Assess the Training Effectiveness

Bringing you the Best TensorFlow Trainers in the Industry

The instructor-led TensorFlow Training training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in TensorFlow practices.

Ashutoshh
Ashutoshh
Jaipur, India
Trainer since
July, 2016
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